TimescaleDB Community

TimescaleDB supports the largest community of time-series developers in the world.

Our goal is to help you complete your projects quickly and with confidence, connect with other developers solving similar problems, and build a supportive, inclusive environment online.

Help each other get the most from time‑series data

Get best practices
and advice

Share TimescaleDB experiences
(and successes!)

Connect with fellow time‑series enthusiasts

Build a better,
inclusive community

See what developers are saying

Jason Warner

@jasoncwarner

There are some ridiculously good dbs out there at the moment, and I love that they are usingSQL & PG/MySQL compatib… https://t.co/Remb0aBnWi

6:40 PM • 1 Apr 2021

think(x) #BlackLivesMatter

@thinkx

@radiothomas_ @Shahor @garybernhardt @craigkerstiens @crunchydata @2ndQuad @dalibo Team @TimescaleDB has taken scal… https://t.co/CxbaI5icoJ

1:11 AM • 26 May 2021

Steve Martinelli

@stevebot

@Loquacities @TimescaleDB Dang, those are pretty docs! Congrats!

0:00 midnight • 6 May 2021

Arye Shalev

@PantchoT

@acoustik @TimescaleDB I have an old project that analyze Twitter top hashtags counts with TS Docker image on my ol… https://t.co/WiwLaOWOxA

8:15 PM • 17 Jun 2021

SELECT NULL

@fabriziomello

Blazing fast DISTINCT queries with @TimescaleDB ... amazing!! https://t.co/tW1fyMAGAq

1:56 PM • 6 May 2021

Alessandro Diaferia

@alediaferia

Have been trying @TimescaleDB on a side project and I have to say it's pretty enjoyable. Here's a nice getting-star… https://t.co/YTH8dBe6cE

4:55 PM • 22 Aug 2021

Vitaliy Kukharik

@VKukharik

@TimescaleDB Thank you for timescaledb. This is the number one extension on my list of favorite extensions!

8:20 PM • 24 May 2021

Lambda

@lambdamarkets1

One of the many reasons why we love @TimescaleDB for our data pipelines #postgresonsteroids https://t.co/2iFypv7LC3

7:34 AM • 24 Jul 2021

Arye Shalev

@PantchoT

@VKukharik @TimescaleDB Wait, What? this is automatic without configuring anything and "all PostgreSQL data types c… https://t.co/LMrIckUPOx

7:30 AM • 25 May 2021

Tommy Parnell

@TerribleDev

Every week I’m just more and more impressed with @TimescaleDB

4:33 PM • 30 Jun 2021

Crypto Boole

@CryptoBoole

Single best practical database innovation out there recently. Is @PostgreSQL on steroids strapped to a rocket loade… https://t.co/JDyJldzDMf

4:34 PM • 28 Jan 2021

Bjarke Felbo

@BFelbo

@fulhack TimescaleDB is amazing because it’s as simple as normal Postgres. Worked well for anything we’ve thrown at… https://t.co/UyfuFFwfca

7:34 PM • 21 Apr 2021

Pranav V Jituri

@Blueelvis_RoXXX

Just started with @TimescaleDB 's tutorial on analyzing crypto prices. Ingested 6.37 million rows in 1 minutes 37 s… https://t.co/FSwZTXl9DA

7:47 AM • 18 Jun 2021

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TimescaleDB is an open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

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Becoming a Timescale Hero means joining a group that shares a common purpose: teach the world about time-series data, while building a better, more inclusive industry in the process. See our Code of Conduct for more about our commitment to safe and welcoming environments.

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Build your career with TimescaleDB

The best companies count on TimescaleDB.
Here are some of the many job opportunities for those with
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And, of course, we‘re always hiring at Timescale!

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Share your story

We 💛 to shine a light on how developers use TimescaleDB, from tracking space weather to predicting arrival times for 75K+ daily flights:

Dev Q&A

How FlightAware fuels flight prediction models for global travelers with TimescaleDB and Grafana

5 October 2020

10 min read

Learn how FlightAware architected a monitoring system - combining TimescaleDB, Grafana, and Docker - that allows them to power real-time flight predictions, analyze prediction performance, and continuously improve their models.

Dev Q&A

How WsprDaemon combines TimescaleDB and Grafana to measure and analyze radio transmissions

20 July 2020

9 min read

The creators of WsprDaemon share how they combine TimescaleDB & Grafana to allow amateur radio enthusiasts to analyze radio transmission data and understand trends - be it their own personal noise levels or much larger space weather patterns.

Dev Q&A

How clevabit builds a data pipeline to turn agricultural IoT data into insights for farmers everywhere

11 May 2020

7 min read

Christoph Engelbert, clevabit co-founder, joins us to share the work they’re doing to power sustainable and transparent farming and how they’re giving farmers, mills, and consumers the metrics they need to make decisions.

Want to share your story?Tell us how you use TimescaleDB and we'll feature you on the Timescale blog.Want to write about TimescaleDB?Have a great idea for a blog post or tutorial on using TimescaleDB? We'll pay you to write it.

Events

Office Hours

Timescale Office Hours is a great way to engage with other Timescale Community members and our product & engineering teams.

Whether you’re new to TimescaleDB, a seasoned pro, or simply want to talk about general database topics, everyone’s welcome!

Request a speaker

Timescale participates in meetups around the world.

Let us know if you'd like to have a Timescale speaker at your meetup or event, and we’ll do our best to work something out.

Request a speaker

Next meetups

At this time, most events are virtual. Timescale speaks and participates in virtual events worldwide.

This is the place to go if you’re interested in someone from Timescale speaking at your event as well.

See where we're speaking next

Presentation materials

Interested in running your own TimescaleDB brown bag session at your workplace? Looking for a starting point for presenting TimescaleDB content at an event?

TimescaleDB slide presentationKeynote | PDF

TimescaleDBStep-by-step instruction on using TimescaleDB for the first time

Learn more about TimescaleDBLearn how to demonstrate TimescaleDB features by watching us do it

Up-level your next meeting with 💯 virtual backgrounds

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